Weakly Supervised Training for Hologram Verification in Identity Documents

arXiv:2404.17253v1 Announce Type: new
Abstract: We propose a method to remotely verify the authenticity of Optically Variable Devices (OVDs), often referred to as ``holograms'', in identity documents. Our method processes video clips captured with smartphones under common lighting conditions, and is evaluated on two public datasets: MIDV-HOLO and MIDV-2020. Thanks to a weakly-supervised training, we optimize a feature extraction and decision pipeline which achieves a new leading performance on MIDV-HOLO, while maintaining a high recall on documents from MIDV-2020 used …

arxiv cs.cv documents hologram identity supervised training training type verification